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  1. 1

    Analyzing the Influence of Climate and Anthropogenic Development on Vegetation Cover in the Coastal Ecosystems of GCC by Abhilash Dutta Roy (22466830)

    Published 2025
    “…We used Landsat satellite imagery and a Random Forest classification algorithm to map various land cover classes along the GCC coastline. …”
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    The Grid Iron Patterns & Detached Villas as the Main Drivers of Sharjah City’s Urban Sprawl by MOHAMED, SHAMSELDIN SAEED

    Published 2021
    “…On the other hand, the same study proved that the grid system and the villa model are the main reason behind the urban sprawl of the city. …”
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    Metabolomics-based prediction model for diabetes: A comprehensive analysis of biomarkers and machine learning approaches by Doaa Farid (22565300)

    Published 2025
    “…Five machine learning models (Logistic Regression, Decision Tree, Random Forest, Gradient Boosting, and Neural Network) were evaluated for their predictive performance using metrics including accuracy, precision, recall, F1 score, and ROC AUC.…”
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    Kidney Ensemble-Net: Enhancing Renal Carcinoma Detection Through Probabilistic Feature Selection and Ensemble Learning by Zaib Akram (22224541)

    Published 2024
    “…These extracted features are then transferred into a refined probabilistic feature set, upon which we construct an ensemble model leveraging the strengths of Logistic Regression (LR), Random Forest (RF), and Gaussian Naive Bayes (GNB) classifiers. …”
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    Peripheral inflammatory and metabolic markers as potential biomarkers in treatment-resistant schizophrenia: Insights from a Qatari Cohort by Mohamed Adil Shah Khoodoruth (14589828)

    Published 2024
    “…Linear regression analysis revealed that MLR and clozapine treatment were significantly correlated with the severity of schizophrenia symptoms. …”
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    Hyper-Hypo study: A Retrospective Observational Study of Neonatal Hypoglycemia Related to Maternal Hypertension by Thiruveni Ramkumar (17075051)

    Published 2023
    “…On the other hand, neonates of hypertensive mothers administered with methyldopa showed a significant decrease of initial blood glucose reading.…”
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    Association Between Three-Months Vitamin D Supplementation and Depressive Symptomatology incidence among Saudi Arabian Adults by Khaddaj, Rashel

    Published 2022
    “…Furthermore, the change between both groups was significantly different (-7.61 ±4.03 in the Vitamin D group, -3.50±1.54 in the control group; p=<0.001) Conclusion: The present study shows thata 50.000 IU/week dose of vitamin D supplementation for 3 months was enough to increase vitamin D levels beyond sufficient and decrease depression symptoms in Saudi Arabian Adults. …”
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    masterThesis
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    Explainable machine learning model and reliability analysis for flexural capacity prediction of RC beams strengthened in flexure with FRCM by Tadesse G. Wakjira (14779165)

    Published 2022
    “…A total of seven machine learning (ML) models such as kernel ridge regression, K-nearest neighbors, support vector regression, classification and regression trees, random forest, gradient boosted trees, and extreme gradient boosting (xgBoost) are evaluated to propose the best predictive model for FRCM-strengthened beams. …”
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    Rescue cerclage by Khoury, Alfred

    Published 2006
    “…Advanced dilation of 3 cm and/or prolapsed membranes (n = 18) did not decrease the likelihood of reaching 28 weeks. Mean gestational age at delivery for this subset of patients was 30.7 ± 7.2 weeks. …”
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    article
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    Revealing the Adoption Factors of Electric Vehicles in Dubai by BIN HUMAID, HUDA

    Published 2024
    “…Electric vehicles (EVs) have gained interest in the last decades, as a significant amount of people in Dubai depend on private vehicles. …”
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    Food safety knowledge attitude and practices of oncology nurses, in Lebanese hospitals by Angy, Mallah

    Published 2023
    “…Knowledge scores were higher among nurses holding a graduate degree (mean = 85; p < 0.05), and those who attended a training course (mean = 79; p < 0.05). …”
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    Ensemble-Guard IoT: A Lightweight Ensemble Model for Real-Time Attack Detection on Imbalanced Dataset by Muhammad Usama Tanveer (22225360)

    Published 2024
    “…To overcome these limitations, we have developed Ensemble-Guard IoT; an innovative ensemble model combining Gaussian Naive Bayes (GNB), Logistic Regression (LR) and Random Forest (RF) through soft voting classifiers. …”
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    Predicting and Interpreting Student Performance Using Machine Learning in Blended Learning Environments in a Jordanian School Context by SALIM, MAHA JAWDAT

    Published 0024
    “…Various ML algorithms, such as Support Vector Machines, Logistic Regression, K-Nearest Neighbors, Naïve Bayes, Decision Trees, Random Forest, AdaBoost, Bagging, and Artificial Neural Networks are applied to predict student performance. …”
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